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1803.11364
Cited By
Joint Optimization Framework for Learning with Noisy Labels
30 March 2018
Daiki Tanaka
Daiki Ikami
T. Yamasaki
Kiyoharu Aizawa
NoLa
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Papers citing
"Joint Optimization Framework for Learning with Noisy Labels"
50 / 392 papers shown
Compressing Features for Learning with Noisy Labels
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yingyi Chen
S. Hu
Xin Shen
C. Ai
Johan A. K. Suykens
NoLa
157
23
0
27 Jun 2022
Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels
Machine-mediated learning (ML), 2022
Chuang Zhang
Li Shen
Jian Yang
Chen Gong
NoLa
166
5
0
27 Jun 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks
Knowledge and Information Systems (KAIS), 2022
Z. Yang
Richard Sinnott
James Bailey
Qiuhong Ke
239
57
0
14 Jun 2022
Narrowing the Gap: Improved Detector Training with Noisy Location Annotations
IEEE Transactions on Image Processing (IEEE TIP), 2022
Shaoru Wang
Jin Gao
Bing Li
Weiming Hu
ObjD
NoLa
167
9
0
12 Jun 2022
Communication-Efficient Robust Federated Learning with Noisy Labels
Knowledge Discovery and Data Mining (KDD), 2022
Junyi Li
Jian Pei
Heng Huang
FedML
183
21
0
11 Jun 2022
Large Loss Matters in Weakly Supervised Multi-Label Classification
Computer Vision and Pattern Recognition (CVPR), 2022
Youngwook Kim
Jae Myung Kim
Zeynep Akata
Jungwook Lee
NoLa
192
71
0
08 Jun 2022
Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation
Computer Vision and Pattern Recognition (CVPR), 2022
De Cheng
Tongliang Liu
Yixiong Ning
Nannan Wang
Bo Han
Gang Niu
Xinbo Gao
Masashi Sugiyama
NoLa
233
82
0
06 Jun 2022
MSR: Making Self-supervised learning Robust to Aggressive Augmentations
Ying-Long Bai
Erkun Yang
Zhaoqing Wang
Yuxuan Du
Bo Han
Cheng Deng
Dadong Wang
Tongliang Liu
SSL
220
5
0
04 Jun 2022
Boosting Facial Expression Recognition by A Semi-Supervised Progressive Teacher
IEEE Transactions on Affective Computing (IEEE TAC), 2022
Jing Jiang
Weihong Deng
186
33
0
28 May 2022
FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels
Zhuowei Wang
Wanrong Zhu
Guodong Long
Bo Han
Jing Jiang
FedML
274
22
0
20 May 2022
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Cheng Xue
Lequan Yu
Pengfei Chen
Qi Dou
Pheng-Ann Heng
NoLa
137
63
0
10 May 2022
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
International Conference on Information and Knowledge Management (CIKM), 2022
Sangmook Kim
Wonyoung Shin
Soohyuk Jang
Hwanjun Song
Se-Young Yun
241
2
0
03 May 2022
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Yangdi Lu
Wenbo He
NoLa
235
46
0
02 May 2022
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
International Conference on Machine Learning (ICML), 2022
Heesun Bae
Seung-Jae Shin
Byeonghu Na
Joonho Jang
Kyungwoo Song
Il-Chul Moon
NoLa
463
29
0
02 May 2022
Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels
Kaidi Wang
Xiang Peng
Shuo Yang
Jianfei Yang
Zheng Hua Zhu
Xinchao Wang
Yang You
NoLa
224
9
0
30 Apr 2022
Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks
Yaoru Luo
Guo-Shuai Liu
Yuanhao Guo
Ge Yang
NoLa
183
1
0
30 Apr 2022
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning
Nazmul Karim
Umar Khalid
Ashkan Esmaeili
Nazanin Rahnavard
NoLa
CLL
169
20
0
21 Apr 2022
FedCorr: Multi-Stage Federated Learning for Label Noise Correction
Computer Vision and Pattern Recognition (CVPR), 2022
Jingyi Xu
Zihan Chen
Tony Q.S. Quek
Kai Fong Ernest Chong
FedML
180
113
0
10 Apr 2022
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Yunlong Zhang
Xin Lin
Yihong Zhuang
LiyanSun
Yue Huang
Xinghao Ding
Guisheng Wang
Ling Yang
Yizhou Yu
MedIm
149
7
0
29 Mar 2022
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Nazmul Karim
Mamshad Nayeem Rizve
Nazanin Rahnavard
Lin Wang
M. Shah
NoLa
384
139
0
28 Mar 2022
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation
SDM (SDM), 2022
Yongliang Ding
Tao Zhou
Chuang Zhang
Yijing Luo
Juan Tang
Chen Gong
NoLa
215
4
0
21 Mar 2022
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels
Computer Vision and Pattern Recognition (CVPR), 2022
Yikai Wang
Xinwei Sun
Yanwei Fu
NoLa
248
31
0
15 Mar 2022
Trustable Co-label Learning from Multiple Noisy Annotators
IEEE transactions on multimedia (IEEE TMM), 2022
Shikun Li
Tongliang Liu
Jiyong Tan
Dan Zeng
Shiming Ge
NoLa
164
35
0
08 Mar 2022
Selective-Supervised Contrastive Learning with Noisy Labels
Computer Vision and Pattern Recognition (CVPR), 2022
Shikun Li
Xiaobo Xia
Shiming Ge
Tongliang Liu
NoLa
275
222
0
08 Mar 2022
Robust Training under Label Noise by Over-parameterization
International Conference on Machine Learning (ICML), 2022
Sheng Liu
Zhihui Zhu
Qing Qu
Chong You
NoLa
OOD
256
135
0
28 Feb 2022
Synergistic Network Learning and Label Correction for Noise-robust Image Classification
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Chen Gong
K. Bin
E. Seibel
Xin Wang
Youbing Yin
Qi Song
NoLa
220
2
0
27 Feb 2022
Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning
AAAI Conference on Artificial Intelligence (AAAI), 2022
Pengxiang Yan
Ziyi Wu
Meng-Shu Liu
K. Zeng
Liang Lin
Guanbin Li
186
36
0
26 Feb 2022
Tripartite: Tackle Noisy Labels by a More Precise Partition
Xuefeng Liang
Longshan Yao
Xingyu Liu
Ying Zhou
NoLa
210
10
0
19 Feb 2022
R2-D2: Repetitive Reprediction Deep Decipher for Semi-Supervised Deep Learning
G. Wang
Jianxin Wu
110
1
0
18 Feb 2022
PENCIL: Deep Learning with Noisy Labels
Kun Yi
G. Wang
Jianxin Wu
NoLa
127
2
0
17 Feb 2022
Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Pens
International Journal on Document Analysis and Recognition (IJDAR), 2022
Felix Ott
David Rügamer
Lucas Heublein
Tim Hamann
Jens Barth
B. Bischl
Christopher Mutschler
383
20
0
14 Feb 2022
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
Computer Vision and Pattern Recognition (CVPR), 2022
Yuyin Zhou
Xianhang Li
Fengze Liu
Qingyue Wei
Xuxi Chen
Ziqiang Li
Cihang Xie
M. Lungren
Lei Xing
NoLa
253
12
0
09 Feb 2022
Data Consistency for Weakly Supervised Learning
Chidubem Arachie
Bert Huang
NoLa
182
2
0
08 Feb 2022
Learning with Neighbor Consistency for Noisy Labels
Computer Vision and Pattern Recognition (CVPR), 2022
Ahmet Iscen
Jack Valmadre
Anurag Arnab
Cordelia Schmid
NoLa
297
95
0
04 Feb 2022
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning
Emilio Dorigatti
Jann Goschenhofer
B. Schubert
Mina Rezaei
B. Bischl
259
4
0
31 Jan 2022
Do We Need to Penalize Variance of Losses for Learning with Label Noise?
Yexiong Lin
Yu Yao
Yuxuan Du
Jun Yu
Bo Han
Biwei Huang
Tongliang Liu
NoLa
205
3
0
30 Jan 2022
DearFSAC: An Approach to Optimizing Unreliable Federated Learning via Deep Reinforcement Learning
Chenghao Huang
Weilong Chen
Yuxi Chen
Shunji Yang
Yanru Zhang
FedML
58
3
0
30 Jan 2022
Investigating Why Contrastive Learning Benefits Robustness Against Label Noise
International Conference on Machine Learning (ICML), 2022
Yihao Xue
Kyle Whitecross
Baharan Mirzasoleiman
SSL
NoLa
447
64
0
29 Jan 2022
PARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy Labels
A. Goel
Yunlong Jiao
Jordan Massiah
NoLa
162
10
0
26 Jan 2022
Semantic Clustering based Deduction Learning for Image Recognition and Classification
Pattern Recognition (Pattern Recogn.), 2021
Wenchi Ma
Xuemin Tu
Bo Luo
Guanghui Wang
207
34
0
25 Dec 2021
Robust Neural Network Classification via Double Regularization
Olof Zetterqvist
Rebecka Jörnsten
J. Jonasson
97
1
0
15 Dec 2021
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation
Yi Li
Yiqun Duan
Zhanghui Kuang
Yimin Chen
Wayne Zhang
Xiaomeng Li
222
89
0
14 Dec 2021
Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry
Karl Lowenmark
C. Taal
S. Schnabel
Marcus Liwicki
Fredrik Sandin
217
9
0
11 Dec 2021
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise
AAAI Conference on Artificial Intelligence (AAAI), 2021
Mingcai Chen
Hao Cheng
Yuntao Du
Ming Xu
Wenyu Jiang
Chongjun Wang
NoLa
268
34
0
06 Dec 2021
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification
IEEE Transactions on Medical Imaging (IEEE TMI), 2021
Chuang Zhu
Wenkai Chen
T. Peng
Ying Wang
M. Jin
NoLa
169
95
0
05 Dec 2021
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection
Seong Min Kye
Kwanghee Choi
Joonyoung Yi
Buru Chang
NoLa
355
26
0
29 Nov 2021
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning
Xin Zhang
Zixuan Liu
Kaiwen Xiao
Tian Shen
Junzhou Huang
Wei Yang
Dimitris Samaras
Xiao Han
NoLa
211
5
0
23 Nov 2021
Federated Semi-Supervised Learning with Class Distribution Mismatch
Zhiguo Wang
Xintong Wang
Tian Ding
Tsung-Hui Chang
FedML
200
15
0
29 Oct 2021
Addressing out-of-distribution label noise in webly-labelled data
Paul Albert
Diego Ortego
Eric Arazo
Noel E. O'Connor
Kevin McGuinness
NoLa
188
22
0
26 Oct 2021
Towards a Robust Differentiable Architecture Search under Label Noise
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Christian Simon
Piotr Koniusz
L. Petersson
Yan Han
Mehrtash Harandi
NoLa
AAML
OOD
144
5
0
23 Oct 2021
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